03 Aug 2026 at 02:48:19

Long Trade on SNXX (BosPullback)

With 26.87 SNXX at 9.773$ per unit. Take profit: 10.5174 (7.62 %) & Stop Loss: 9.4752 (3.05 %)

Long BosPullback on SNXX (03 Aug 2026 at 02:48:19 to 04:00:00 - 1 hour )

With 26.867 SNXX at 9.773$ per unit.

Position size of 262.5711 $
Take profit at 10.5174 (7.62 %) and Stop Loss at 9.4752 (3.05 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.04
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime BTC Market Regime V2

ml_regime : bear_low_vol

rules_regime : bear_low

rules_regime_5m : bear_low

Score : 0

ml_regime : range_high

rules_regime : range_high

rules_regime_4h : bear_medium

tf_aligned :

03/08 02:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition strong balanced compression bear_high
68%
03/08 04:00
1h ↑ up transition bullish_transition moderate grind expansion bull_high
74%
03/08 06:00
15m ↔ neutral range range weak fading compression range_high
46%
03/08 06:30
5m ↔ neutral range range moderate balanced normal bear_medium
73%
03/08 06:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.83
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=5|retests=1|break_atr=0.43|prog=0.43|zone=tested|ob:ask_pressure(-0.10)
  4. stop_price: 9.47523683
  5. tp_price: 10.51740792
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : pullback_up
  11. confidence : 0.446
  12. trend_strength : 0.1672
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.0852
  15. low_delta_atr : 0.3631
  16. current_swing_amp_atr : 2.5713
  17. current_swing_speed : 0.85708
  18. current_swing_efficiency : 0.3819
  19. retracement_ratio : 1.7368
  20. extension_ratio : 1.3933
  21. compression_score : 0.9498
  22. swing_entropy : 1
  23. breakout_strength : -0.3713
  24. distance_to_last_high_atr : -1.4565
  25. distance_to_last_low_atr : 1.1015
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    10.13
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.514
  46. state : up_bullish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7186
  49. scores_strength_score:
    0.4672
  50. scores_quality_score:
    0.2932
  51. scores_cleanliness_score:
    0.1973
  52. scores_structural_quality:
    0.3717
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2394
  55. scores_continuation_score:
    0.5906
  56. scores_structure_score:
    0.6743
  57. scores_volatility_expansion:
    0.904
  58. scores_momentum_type_score:
    0.5726
  59. scores_risk_score:
    0.5496
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.057
  62. features_ema50_slope:
    0.0395
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.0557
  65. features_price_vs_ema50:
    0.4894
  66. features_recent_hh_hl_score:
    0.55
  67. features_recent_lh_ll_score:
    0.45
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    5
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6054
  72. features_trend_efficiency:
    0.3819
  73. features_impulse_strength:
    2.5713
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.7368
  76. features_pullback_depth_atr:
    3.3619
  77. features_extension_from_mean:
    0.4894
  78. features_impulse_decay_score:
    0.3034
  79. features_opposing_wick_pressure:
    0.3009
  80. features_volatility_percentile:
    0.84
  81. features_volatility_delta:
    0.589
  82. features_body_ratio:
    0.4483
  83. features_closes_position_ratio:
    0.5007
  84. features_slope_consistency:
    0.8463
  85. features_range_position:
    0.5496
  86. features_distance_to_recent_high:
    -11.0048
  87. features_distance_to_recent_low:
    13.4268
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    0
  91. features_htf_trend_strength:
    
                                                                                                                                
  92. features_htf_compression_score:
    
                                                                                                                                
  93. features_htf_entropy_score:
    
                                                                                                                                
  94. features_htf_hh_hl_score:
    
                                                                                                                                
  95. features_htf_state_str:
    
                                                                                                                                
  96. ¸
  97. orderbook_context
  98. obi_top5 : -0.3811
  99. obi_top10 : -0.1981
  100. micro_price : 9.77622787
  101. spread_pct : 0.051146
  102. mid_price : 9.7785
  103. bid_wall_price : 9.68
  104. bid_wall_size : 8460.528
  105. bid_wall_dist_atr :
  106. ask_wall_price : 9.87
  107. ask_wall_size : 8426.27
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.2877
  111. obi_top5_std : 0.1504
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 6927
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-07-29 16:00:00
        [price] => 6.588
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-29 19:00:00
        [price] => 8.418
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-07-29 21:00:00
        [price] => 6.214
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-07-30 01:00:00
        [price] => 7.538
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-07-30 08:00:00
        [price] => 6.565
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-07-31 01:00:00
        [price] => 12.69
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-07-31 02:00:00
        [price] => 11.232
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-07-31 06:00:00
        [price] => 12.466
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-07-31 08:00:00
        [price] => 10.812
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-07-31 13:00:00
        [price] => 12.482
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-07-31 14:00:00
        [price] => 8.94
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-07-31 17:00:00
        [price] => 10.355
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-08-01 00:00:00
        [price] => 9.011
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-08-01 11:00:00
        [price] => 9.552
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-08-01 16:00:00
        [price] => 8.956
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-08-02 02:00:00
        [price] => 9.803
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-08-02 12:00:00
        [price] => 9.414
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-08-02 17:00:00
        [price] => 9.864
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-08-02 22:00:00
        [price] => 9.503
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-08-03 01:00:00
        [price] => 10.13
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-08-02 07:00:00
        [price] => 9.579
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-02 08:15:00
        [price] => 9.794
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-02 09:15:00
        [price] => 9.55
        [kind] => low
        [label] => HL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-02 10:15:00
        [price] => 9.7
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-02 11:30:00
        [price] => 9.421
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-02 11:45:00
        [price] => 9.565
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-02 12:45:00
        [price] => 9.637
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-02 14:00:00
        [price] => 9.455
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-02 17:15:00
        [price] => 9.864
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-02 18:45:00
        [price] => 9.672
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-02 20:30:00
        [price] => 9.818
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-02 21:15:00
        [price] => 9.65
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-02 21:30:00
        [price] => 9.763
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-02 23:00:00
        [price] => 9.874
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-03 00:00:00
        [price] => 9.401
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-03 00:15:00
        [price] => 9.886
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-08-03 01:30:00
        [price] => 9.722
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-08-03 02:15:00
        [price] => 10.073
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-08-03 05:15:00
        [price] => 9.689
        [kind] => low
        [label] => HL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-08-03 05:45:00
        [price] => 9.969
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 9.864
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    9.503
  167. levels_hl_timestamp: 2026-08-02 22:00:00
  168. levels_hh_price:
    10.13
  169. levels_lh_price:
    10.13
  170. levels_lh_timestamp: 2026-08-03 01:00:00
  171. levels_ll_price:
    9.503
  172. strategy_details
  173. demand_zone_top:
    9.722
  174. demand_zone_bottom:
    9.414
  175. demand_zone_mid:
    9.568
  176. demand_zone_freshness: tested
  177. demand_zone_strength:
    0.8303
  178. supply_zone :
  179. ¸
  180. regimes
  181. 1H : bull_high
  182. 15m : range_high
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 45%

Trend

Trend Strength
0.167
Persistence
0.500
High Δ ATR
1.085
Low Δ ATR
0.363

Current Swing

Amp ATR
2.571
Speed
0.857
Efficiency
0.382

Structure

Retracement
1.737
Extension
1.393
Compression
0.950
Entropy
1.000
Breakout Str.
-0.371
Dist High ATR
-1.457
Dist Low ATR
1.102
29 pivots · 28 swings · Last pivot: ↑ 10.1300 @ bar 144

Trend Analyzer 1H

1H ↑ up up_bullish_transition_grind
Confidence 51%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum grind
volatility volatile_reversal
risk mid_range
htf unknown
Scores
Direction Score 0.719
Strength Score 0.467
Quality Score 0.293
Cleanliness Score 0.197
Structural Quality 0.372
Pullback Score 1.000
Exhaustion Score 0.239
Continuation Score 0.591
Structure Score 0.674
Volatility Expansion 0.904
Momentum Type Score 0.573
Risk Score 0.550
Features
Ema20 Slope
0.057
Ema50 Slope
0.040
Ema Alignment Score
1.000
Price Vs Ema20
0.056
Price Vs Ema50
0.489
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
1.000
Bars Since Last Bos
5.000
Candle Overlap Ratio
1.000
Wick Ratio
0.605
Trend Efficiency
0.382
Impulse Strength
2.571
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.737
Pullback Depth Atr
3.362
Extension From Mean
0.489
Impulse Decay Score
0.303
Opposing Wick Pressure
0.301
Volatility Percentile
0.840
Volatility Delta
0.589
Body Ratio
0.448
Closes Position Ratio
0.501
Slope Consistency
0.846
Range Position
0.550
Distance To Recent High
-11.005
Distance To Recent Low
13.427
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 6927ms Confidence avant OB : 93%83%

Order Book Imbalance

OBI Top 5 -0.381
avg -0.288 ± 0.150
OBI Top 10 -0.198

Microstructure

Mid Price
9.7785
Micro Price
9.7762
Spread
0.0511%

↑ Bid Wall (Support)

Price
9.6800
Size
8,460.53

↓ Ask Wall (Resistance)

Price
9.8700
Size
8,426.27

📌 Time Data

Start at Closed at Duration
03 Aug 2026
02:48:19
03 Aug 2026
04:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.773 9.4752 10.5174 2.5 14.187
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 9.773
  • Stop Loss: 9.4752
  • Take Profit: 10.5174

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.4752 - 9.773 = -0.2978

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.773 - 10.5174 = -0.7444

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.7444 / -0.2978 = 2.4997

📌 Position Size

Amount Margin Quantity Leverage
262.5711 100 26.867 2.63
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss -0.2978

Taille de position = 8 / -0.2978 = -26.86

Taille de position USD = -26.86 x 9.773 = -262.5

Donc, tu peux acheter -26.86 avec un stoploss a 9.4752

Avec un position size USD de -262.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -26.86 x -0.2978 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -26.86 x -0.7444 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position -26.86
  • Taille de position USD -262.5
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.4997

📌 Peformances

TP % Target TP $ Target
7.62 % 20 $
SL % Target SL $ Target
3.05 % 8 $
PNL PNL %
-8 $ -3.05
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.3971 % 111.48 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 10.5174
            [entry_price] => 9.773
            [stop_loss] => 9.44542
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-08-03 08:00:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 10.5174
            [entry_price] => 9.773
            [stop_loss] => 9.41564
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-08-03 08:15:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 10.5174
            [entry_price] => 9.773
            [stop_loss] => 9.38586
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-08-03 08:15:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 10.5174
            [entry_price] => 9.773
            [stop_loss] => 9.3263
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-08-03 08:20:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.027000000000001
            [max_drawdown] => 0.652
            [rr_ratio] => 0.04
            [high] => 9.80000000
            [low] => 9.12100000
            [mfe_pct] => 0.28
            [mae_pct] => 6.67
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 24
            [start_at] => 2026-08-03T02:48:19-04:00
            [end_at] => 2026-08-03T04:48:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.027000000000001
            [max_drawdown] => 1.865
            [rr_ratio] => 0.01
            [high] => 9.80000000
            [low] => 7.90800000
            [mfe_pct] => 0.28
            [mae_pct] => 19.08
            [mfe_mae_ratio] => 0.01
            [candles_analyzed] => 84
            [start_at] => 2026-08-03T02:48:19-04:00
            [end_at] => 2026-08-03T09:48:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 10.03000000
            [high_after] => 9.80000000
            [low_before] => 9.68400000
            [low_after] => 8.33600000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?

Quality Rank
#5 / n/a OK
seuil : top 15 · score du 03/08/2026 02:00
Signal Confidence
83 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime